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Neural Networks

From a single neuron to deep learning: how neural networks actually work.

The building blocks behind modern AI, neurons, layers and the training loop that lets a network learn from data, plus a first look at the architectures built on top of it.

7 of 7 lessons available

LAYERS OF VERY SIMPLE UNITSinputhidden layersoutputEACH LAYER LEARNS A BIGGER IDEA
Layers of very simple units, where each layer learns a bigger idea than the one before it.

Lessons in this path

  1. Neural Networks
  2. Activation Functions: ReLU, Sigmoid and Tanh
  3. Training a Neural Network: Loss, Optimizers and Learning Rate
  4. Convolutional Neural Networks for Images
  5. Recurrent Neural Networks for Sequences
  6. Transfer Learning: Reusing What a Model Already Knows
  7. An Introduction to TensorFlow and PyTorch
Neural Networks | OnePocketML